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statistical_filtering.cpp
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statistical_filtering.cpp
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#include <pcl/io/pcd_io.h>
#include <pcl/point_types.h>
#include <pcl/filters/statistical_outlier_removal.h>
using namespace std;
int main(int argc, char *argv[])
{
if (argc != 3)
{
cout << "Usage: " << argv[0] << " <input.pcd> <output.pcd>" << endl;
return -1;
}
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_filtered(new pcl::PointCloud<pcl::PointXYZ>);
if (pcl::io::loadPCDFile<pcl::PointXYZ>(argv[1], *cloud) == -1)
{
PCL_ERROR("Could not read input file \n");
return -1;
}
cout << "Loaded" << cloud->points.size() << "points from" << argv[1] << endl;
pcl::StatisticalOutlierRemoval<pcl::PointXYZ> sor;
sor.setInputCloud(cloud);
sor.setMeanK(50);
sor.setStddevMulThresh(1.0);
sor.filter(*cloud_filtered);
cout << "Filtered cloud contains" << cloud_filtered->points.size() << "points." << endl;
pcl::io::savePCDFileASCII(argv[2], *cloud_filtered);
cout << "Saved filtered point cloud to" << argv[2] << endl;
return 0;
}